| Issue | #Downvotes for this reason | By |
|---|
| weka.SMO_PolyKernel(1) | J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning, 1998. S.S. Keerthi, S.K. Shevade, C. Bhattacharyya, K.R.K. Murthy (2001). Improvements to Platt's SMO Algorithm for SVM Classifier Design. Neural Computation. 13(3):637-649. Trevor Hastie, Robert Tibshirani: Classification by Pairwise Coupling. In: Advances in Neural Information Processing Systems, 1998. |
| weka.PolyKernel(1)_C | 250007 |
| weka.PolyKernel(1)_E | 1.0 |
| weka.SMO_PolyKernel(1)_C | 1.0 |
| weka.SMO_PolyKernel(1)_K | weka.classifiers.functions.supportVector.PolyKernel |
| weka.SMO_PolyKernel(1)_L | 0.001 |
| weka.SMO_PolyKernel(1)_N | 0 |
| weka.SMO_PolyKernel(1)_P | 1.0E-12 |
| weka.SMO_PolyKernel(1)_V | -1 |
| weka.SMO_PolyKernel(1)_W | 1 |
0.9197 ± 0.1231 Per class |
0.9312 ± 0.1045 Per class |
0.8482 ± 0.2514 |
0.8445 ± 0.2625 |
0.0684 ± 0.1119 |
0.457 ± 0.0208 |
570 Per class |
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ] |
0.9313 ± 0.0775 Per class |
0.9316 ± 0.1119 |
0.9349 ± 0.0618 |
0.9316 ± 0.1119 Per class |
0.1497 ± 0.2495 |
0.4773 ± 0.0219 |
0.2616 ± 0.2207 |
0.5481 ± 0.4665 |
1955.7232 |